摘要
成功地运用了矢量量化的方法对气象卫星云图进行有效压缩，使用的码书是通过自组织特征映射网络训练而成结果表明，采用矢量量化方法对气象卫星云图进行压缩，可以在获得较高压缩比的同时。
This paper realizes the compression of satellite meteorological cloud-chart images by using vector quantization and the codebook for vector quantization is trained by self-organizing neural network.By using vector quantization,the result shows it can get high compression ratio and good quality of decoded images.Moreover,by using dual addressing technique, the efficiency of encoding the vector index is significantly improved.
出处
《南昌大学学报（工科版）》
CAS
1999年第1期80-83,共4页
Journal of Nanchang University(Engineering & Technology)
基金
江西省自然科学基金
关键词
矢量量化
气象卫星云图
SOFM
数据压缩
self-organizing feature map neural network,vector quantization,satellite meterological cloud-chart images
